ADVANCED DISTORTION-INVARIANT MINIMUM AVERAGE CORRELATION-ENERGY (MACE) FILTERS

被引：42

作者：

CASASENT, D

RAVICHANDRAN, G

机构：

[1] Department of Electrical and Computer Engineering, Center for Excellence in Optical Data Processing, Carnegie Mellon University, Pittsburgh, PA

来源：

APPLIED OPTICS | 1992年 / 31卷 / 08期

关键词：

D O I：

10.1364/AO.31.001109

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The original minimum average correlation energy (MACE) filter is addressed by using a new database (strategic relocatable objects, missile launchers) and including noise performance, depression angle, and resolution effects on the number of training set images that are required. Major attention is given to our new MACE filter algorithms for distortion-invariant pattern recognition: shifted-MACE filters (to suppress large false correlation peaks), minimum variance-MACE filters (for improved noise performance), multiple symbolic encoded filters (to reduce the effect of false correlation peaks), and Gaussian-MACE filters (to improve noise performance and intraclass recognition and reduce the training set size).

引用

页码：1109 / 1116

页数：8

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